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license: apache-2.0
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license: apache-2.0
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As disappointing at this is, **I could not converge the geolip-svd-transformer yet**.
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I have NOT given up this structure. I am expanding the entire differentiation underlying the system.
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I have begun a heavy series of sweeps to test huge amounts of synthetic shapes, structural variances, coloration differentiations, and structural variants
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in a series of intended pretrain convergences that will manifest into the synthetic pixel solver structure.
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These weight sets will begin in notebook form, and evolve into structural SVD weight infusions that will intentionally
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amplify learning speed to introduce huge amounts of potential autosolving encoder structures intentionally targeting
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very very small sizes.
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INTENTIONALLY small. These are going to be imperfect, but there will be MANY OPTIONS.
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The "auto" spectrum will have a series of prefabricated "init" spectrums, intentionally meant to allow
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skipping huge amounts of early pretraining using organized spectral attuned SVD attenuation mechanisms.
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There will be multiple capable patchworks, multiple capable potentials, and multiple capable substructure options
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each with their own benefits, own negatives, and own convergence speeds.
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The goal here, is to synthetic shape expand the structural invariance of systems like this, to introduce
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prefabricated utility-driven patchworks using SVD as a catalyst.
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